期刊
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 53, 期 4, 页码 759-772出版社
SPRINGER
DOI: 10.1007/s00158-015-1360-7
关键词
Continuum topology optimization; Material uncertainties; Stochastic perturbation; Structural reliability
资金
- National Science Foundation [CMMI 1401575]
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1401575] Funding Source: National Science Foundation
This contribution presents a computationally efficient method for reliability-based topology optimization for continuum domains under material properties uncertainty. Material Young's modulus is assumed to be lognormally distributed and correlated within the domain. The computational efficiency is achieved through estimating the response statistics with stochastic perturbation of second order, using these statistics to fit an appropriate distribution that follows the empirical distribution of the response, and employing an efficient gradient-based optimizer. Two widely-studied topology optimization problems are examined and the changes in the optimized topology is discussed for various levels of target reliability and correlation strength. Accuracy of the proposed algorithm is verified using Monte Carlo simulation.
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